Micro-Expression-Based Emotion Recognition Using Waterfall Atrous Spatial Pyramid Pooling Networks

Micro-Expression-Based Emotion Recognition Using Waterfall Atrous Spatial Pyramid Pooling Networks

Understanding a person’s attitude or sentiment from their facial expressions has long been a straightforward task for humans. Numerous methods and techniques have been used to classify and interpret human emotions that are commonly communicated through facial expressions, with either macro- or micro...

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Bibliographic Details
Main Authors: Marzuraikah Mohd Stofa, Mohd Asyraf Zulkifley, Muhammad Ammirrul Atiqi Mohd Zainuri
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
deep learning
convolutional neural networks
micro-expression analysis
emotion classification
Online Access:https://www.mdpi.com/1424-8220/22/12/4634

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